This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description At Signifyd, product leadership and business outcomes are inseparable. The Senior Director, Product – AI Performance & Risk owns the two metrics that define the company’s success: loss rates and conversion. Signifyd guarantees every approved order. When fraud occurs, the company pays for it. That means the performance of our AI systems directly determines our business economics. This leader owns the product engine behind those decisions. You will lead the product organization responsible for the models, data systems, and decisioning infrastructure that determine whether billions of dollars in ecommerce transactions are approved or declined. Reporting to the Chief Product Officer, you will partner closely with the CTO, Chief Risk Officer, and CEO to drive Signifyd’s next phase of AI performance and product innovation. You will lead a team of senior product managers and work closely with engineering, data science, and risk teams to continuously improve the systems that power Signifyd’s real-time decisions. Outcomes You Own - Loss Rates: You will own the models and risk decisioning systems responsible for maintaining industry-leading performance while scaling across billions of dollars of merchant GMV. - Conversion: Improving conversions while maintaining strong loss performance is one of the most powerful levers in ecommerce. - Next-Generation AI in Production: The next phase requires deploying new modeling architectures capable of leveraging our commerce identity network of 90+ billion identities. What You Will Lead - Signifyd AI Lab (SAIL): Develops and evaluates new model architectures and prepares them for production deployment. - Risk Platform: Executes approve/decline decisions in under 500 milliseconds. - Feature System: Transforms raw network data into signals used by production models. - Data Infrastructure: Guides the evolution of the systems that ingest, process, store, and serve the data. - Authorization Rate Optimization (ARO): Improves approval rates at the issuer and bank layer. What Success Looks Like in Year 1 - Improved loss rate performance while maintaining strong approval rates. - Meaningful conversion improvements across enterprise merchants. - Deployment of new modeling capabilities into production. - Faster cycle time from model research to live decisioning impact. - Strong product leadership across AI, risk, and decisioning systems. Who You Are - You operate like an owner, measuring success by business results. - You are a product leader with strong commercial instincts. - You have led in technically complex environments. - You move with urgency, valuing speed from insight to production impact. - You are a strong people leader, creating clarity on priorities and earning trust. Preferred Background - 10+ years of product leadership experience. - Ownership of PMs or teams that drive major product areas. - Experience in fintech, payments, ecommerce, fraud, or AI-driven decision systems preferred. - Experience working closely with data science or machine learning teams. - Demonstrated track record of owning and improving business metrics. - Founder or entrepreneurial operating experience is a plus. Benefits - Discretionary Time Off Policy (Unlimited!) - 401K Match - Stock Options - Annual Performance Bonus or Commissions - Paid Parental Leave (12 weeks) - On-Demand Therapy for all employees & their dependents - Dedicated learning budget through Learnerbly - Health Insurance - Dental Insurance - Vision Insurance - Flexible Spending Account (FSA) - Short Term and Long Term Disability Insurance - Life Insurance - Company Social Events - Signifyd Swag Compensation - Base Salary Ranges by Pay Zone: - Tier 1 (NYC/SF Bay Area/Seattle): $250,000 – $280,000 annually - Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego): $240,000 – $270,000 annually - Tier 3 (US - All Other): $220,000 – $250,000 annually - This role is eligible for a stock option grant of 15,000 stock options. - This role is eligible for an annual performance bonus of up to 15% of base salary.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a Product Manager to join a team focused on observability and intelligence for Make. In this role, you'll help customers understand what's happening across their AI and automation landscape, making it easier to monitor, debug, and act on data at scale. - Shape the product strategy and roadmap for observability and helping customers understand, monitor, and debug their business processes at scale. - Identify and prioritize opportunities to improve visibility into automation performance, health, and data flow across the platform. - Lead the development of capabilities that connect Make to observability and alerting ecosystems. - Drive AI-augmented product practices across the team, accelerating discovery, synthesis, and decision-making. - Collaborate with an Engineering Manager and a Product Designer to drive discovery, experimentation, and delivery. - Champion the customer perspective by translating usage data, support signals, and direct engagement into clear, actionable product decisions. - Drive a culture of continuous improvement: think big, ship iteratively, and learn fast. Qualifications - 5+ years of experience in a product management role in SaaS, with a focus on continuous discovery and data-informed decision-making. - Understanding of observability concepts: monitoring, logging, metrics, alerting, and tracing. - Demonstrated use of AI tools (e.g., Claude, ChatGPT, Cursor or similar) to accelerate product workflows. - Entrepreneurial thinking, proactive and collaborative with strong communication skills, able to bridge technical depth and business impact. - Understanding of process automation and workflow orchestration. - Bachelor's degree in computer science, information systems, business, or equivalent practical experience. - Excellent written and verbal fluency in English. - Hands-on experience with low-code/no-code automation, integrations, or no-code platforms is a plus. Benefits - 📈 RSUs grant in a rapidly growing company raising its value every day. - 💸 Annual bonus. - 🌎 Multinational team with 42 nationalities creating the future of automation. - 🎓 Learning & Development plan (online language, professional courses, conference tickets and other trainings) & 2 Company Learning Days per year. - 🌳 1 Company Impact Days per year. - 🍎 Notebook/Macbook and 34’’ curved monitor. - 🏝 25 days of vacation, 4 sick days, company day off on 31st December. - 🫶 10 care days to care for your loved ones. - 👨‍👩‍👧‍👦 Extra parental vacation (3-6 months). - 👶 RSUs grant for a newborn child. - ☂️ Life insurance. - 🏋️ Benefit Plus Cafeteria (incl. MultiSport Card). - 💰 Remote working allowance. - 🍍 Snack bar, coffee, tea, fruit and vegetable, and sweets all day - every day - available for everyone. - 🥗 Wednesday lunch. - 🏡 Flexible working hours + home office. - 🐕 Company therapy pets in Prague's office (dog-friendly office). - 🖨 Company 3D printer. - 🥳 Team buildings, parties, and company events multiple times a year.

• Identify opportunities emerging from new technologies, AI, data, platform capabilities, or infrastructure shifts • Translate weak signals and technical possibilities into clear product hypotheses • Explore ideas before there is a clear buyer, category, or demand signal • Maintain an exploration backlog with risks, assumptions, and learning goals • Frame experiments around the single riskiest assumption • Define explicit kill criteria before building anything • Execute scrappy prototypes, MVPs, and pilots with minimal scope • Synthesize results into opinionated recommendations: Scale / Iterate / Kill • Clearly communicate what was tested, what was learned, and what remains unknown • Maintain a visible Lab portfolio: what's being explored, why, and what the signals say

• Own and evolve squad product roadmap from discovery through delivery • Be in the driver's seat alongside design and engineering — not as a spec-writer, but as a builder who leads product direction and uses AI to move faster, go deeper, and contribute to a fast based, customer-obsessed team • Stay deeply informed on the AI developer tools landscape (Cursor, Copilot, Claude Code, and what’s next) • Define success metrics for AI features upfront and drive iteration based on data • Actively engage customers to gather feedback and translate it into product decisions • Solve customer problems directly — not just through product specs, but sometimes by hand; we believe in doing things that don't scale until you've learned enough to build them at scale • Use AI tools actively in your own daily workflow — to research, prototype, write, and build